Title :
Adaptive precompensation of Wiener systems
Author :
Kang, Hyun Woo ; Cho, Yong Soo ; Youn, Dae Hee
Author_Institution :
Multimedia Res. & Dev. Center, Hyundai Electron. Ind. Co. Ltd., Seoul, South Korea
fDate :
10/1/1998 12:00:00 AM
Abstract :
This article presents an adaptive precompensation technique for the Wiener system: a class of nonlinear systems that can be represented by the interconnection of a linear dynamic subsystem and a memoryless nonlinear subsystem. An adaptive algorithm for adjusting the parameters of the precompensator, structured by a Hammerstein model, is derived using the stochastic gradient method. The validity of the proposed algorithm is confirmed in a computer simulation by applying it to known Wiener systems
Keywords :
Wiener filters; adaptive filters; adaptive signal processing; discrete time filters; filtering theory; interconnected systems; memoryless systems; nonlinear filters; stochastic processes; Hammerstein model; Volterra series expansion; Wiener systems; adaptive algorithm; adaptive precompensation; computer simulation; discrete-time causal nonlinear systems; linear dynamic subsystem interconnection; memoryless nonlinear inverse filter; memoryless nonlinear subsystem; precompensator parameters adjustment; stochastic gradient method; Acoustic distortion; Adaptive algorithm; Adaptive systems; Computer simulation; Electrical engineering; Gradient methods; Nonlinear distortion; Nonlinear dynamical systems; Nonlinear systems; Stochastic processes;
Journal_Title :
Signal Processing, IEEE Transactions on
